Daniela Stan Raicu

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Learning Opportunities

Medical Image Interpretation

Outlier Removal

Top Venues

Medical Imaging: Computer-Aided Diagnosis

J. Digit. Imaging

Publications

Katherine Aubert, Catherine Huber, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
Iterative K-means clustering for disease subtype discovery. Medical Imaging: Computer-Aided Diagnosis (2023)
Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu
Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. CBMS (2023)
Crystal Contreras, Hristina Dokic, Zhen Huang, Daniela Stan Raicu, Jacob Furst, Roselyne Tchoua
Multiclass Classification of Software Vulnerabilities with Deep Learning. ICMLC (2023)
Claire Weissman, Lilly Roelofs, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua
Similarity-based uncertainty scores for computer-aided diagnosis. Medical Imaging: Computer-Aided Diagnosis (2022)
Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob D. Furst, Daniela Stan Raicu
Autorevise: annotation refinement using motion signal patterns. SAC (2022)
Arun Gopal Govindaswamy, Enid Montague, Daniela Stan Raicu, Jacob D. Furst
CNN as a feature extractor in gaze recognition. AICCC (2020)
Mengyuan Shang, Jacob D. Furst, Daniela Stan Raicu
Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. CBMS (2020)
Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob D. Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J. Digit. Imaging 33 (3) (2020)
Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob D. Furst, Daniela Stan Raicu
Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. KDIR (2019)
Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Stan Raicu, Samah J. Fodeh
Automatic extraction of informal topics from online suicidal ideation. BMC Bioinform. (8) (2018)
Natalia M. Jenuwine, Sunny N. Mahesh, Jacob D. Furst, Daniela Stan Raicu
Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection. Medical Imaging: Computer-Aided Diagnosis (2018)
Jake N. Sauter, Victoria M. LaBarre, Jacob D. Furst, Daniela Stan Raicu
An evaluation of consensus techniques for diagnostic interpretation. Medical Imaging: Computer-Aided Diagnosis (2018)
Matthew Yung, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Synthetic Sampling for Multi-Class Malignancy Prediction. CoRR (2018)
Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob D. Furst, Steven M. Montner, Samuel G. Armato III, Daniela Stan Raicu
Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. Int. J. Knowl. Discov. Bioinform. 8 (2) (2018)
Rachael N. Affenit, Erik R. Barns, Jacob D. Furst, Alexander Rasin, Daniela Stan Raicu
Building confidence and credibility into CAD with belief decision trees. Medical Imaging: Computer-Aided Diagnosis (2017)
Taha Hamid, Denise C. Nacu, Taihua Li, Jonathan Gemmell, Daniela Stan Raicu, Caitlin Kennedy Martin, Michael Schutzenhofer, Nichole Pinkard
Recommender System to Support Brokering of Youth Learning Opportunities. WI Workshops (2016)
Ronald Niehaus, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J. Digit. Imaging 28 (6) (2015)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Identifying the optimal segmentors for mass classification in mammograms. Medical Imaging: Image Processing (2015)
Jose R. Zamacona, Ronald Niehaus, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs. Comput. Biol. Medicine 62 (2015)
Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob D. Furst, Daniela Stan Raicu
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. ICDM Workshops (2015)
Mayra Alejandra Molina Puentes, Jacob D. Furst, Daniela Stan Raicu
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. ICMLA (2014)
Mike Seidel, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Towards Achieving Diagnostic Consensus in Medical Image Interpretation. ICDM Workshops (2014)
Jose R. Zamacona, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu
Reducing Classification Cost through Strategic Annotation Assignment. ICDM Workshops (2013)
Sydney Williams, Michael Harris, Jacob D. Furst, Daniela Stan Raicu
Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. MLDM (2013)
Ethan Smith, Patrick Stein, Jacob D. Furst, Daniela Stan Raicu
Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. ICMLA (2) (2013)
Dmitry Zinovev, Yujie Duo, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J. Digit. Imaging 25 (3) (2012)
Anne-Marie Giuca, Kerry A. Seitz, Jacob D. Furst, Daniela Stan Raicu
Expanding diagnostically labeled datasets using content-based image retrieval. ICIP (2012)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Building an ensemble system for diagnosing masses in mammograms. Int. J. Comput. Assist. Radiol. Surg. 7 (2) (2012)
Hans-Peter Bischof, Jacob D. Furst, Daniela Stan Raicu, Susan D. Ruban
Top issues in providing successful undergraduate research experiences. SIGCSE (2011)
Dmitry Zinovev, Jacob D. Furst, Daniela Stan Raicu
Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. ICMLA (2) (2011)
Pia Opulencia, David S. Channin, Daniela Stan Raicu, Jacob D. Furst
Mapping LIDC, RadLex™, and Lung Nodule Image Features. J. Digit. Imaging 24 (2) (2011)
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. ICIAR (2) (2011)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Building multiple weak segmentors for strong mass segmentation in mammogram. Medical Imaging: Image Processing (2011)
Zahra Ferdowsi, Raffaella Settimi, Daniela Stan Raicu
An Application of Clustering Techniques to Urban Studies. DMIN (2010)
Grace M. Dasovich, Robert Kim, Daniela Stan Raicu, Jacob D. Furst
A model for the relationship between semantic and content based similarity using LIDC. Medical Imaging: Computer-Aided Diagnosis (2010)
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard Brock, Jacob D. Furst, Daniela Stan Raicu
An investigation into the relationship between semantic and content based similarity using LIDC. Multimedia Information Retrieval (2010)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions. Medical Imaging: Computer-Aided Diagnosis (2010)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Image enhancement and edge-based mass segmentation in mammogram. Medical Imaging: Image Processing (2010)
Joseph S. Wantroba, Daniela Stan Raicu, Jacob D. Furst
A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. ICIP (2009)
Dmitry Zinovev, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. Intell. Decis. Technol. 3 (4) (2009)
Daniela Stan Raicu, Jacob D. Furst
Enhancing undergraduate education: a REU model for interdisciplinary research. SIGCSE (2009)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Characterizing pulmonary nodule shape using a boundary-region approach. Medical Imaging: Computer-Aided Diagnosis (2009)
Dmitry Zinovev, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. Algorithms 2 (4) (2009)
Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28 (8) (2009)
William H. Horsthemke, Daniela Stan Raicu, Jacob D. Furst
Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium. Int. J. Heal. Inf. Syst. Informatics 4 (1) (2009)
Yu Zhang, Noriko Tomuro, Jacob D. Furst, Daniela Stan Raicu
Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. MCBR-CDS (2009)
Aaron M. Mintz, Daniela Stan Raicu, Jacob D. Furst
Liver segmentation combining Gabor filtering and traditional vector field snake. Medical Imaging: Image Processing (2008)
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan Raicu, Jacob D. Furst
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics. BIOTECHNO (2008)
Carl Philips, Daniel Li, Daniela Stan Raicu, Jacob D. Furst
Directional Invariance of Co-occurrence Matrices within the Liver. BIOTECHNO (2008)
William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst
Predictive Data Mining for Lung Nodule Interpretation. ICDM Workshops (2007)
William H. Horsthemke, Daniela Stan Raicu
Organ analysis and classification using principal component and linear discriminant analysis. Medical Imaging: Image Processing (2007)
Daniela Stan Raicu, Ekarin Varutbangkul, Janie G. Cisneros, Jacob D. Furst, David S. Channin, Samuel G. Armato
Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. Medical Imaging: Image Processing (2007)
Sharon I. Greenblum, Max Krucoff, Jacob D. Furst, Daniela Stan Raicu
Automated image analysis of noisy microarrays. VISAPP (1) (2007)
Michael V. Doran, Daniela Stan Raicu, Jacob D. Furst, Raffaella Settimi, Matthew Schipma, Darrell P. Chandler
strains using support vector machines. Bioinform. 23 (4) (2007)
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D. Furst, David S. Channin
Automatic Single-Organ Segmentation in Computed Tomography Images. ICDM (2006)
Daniela Stan Raicu, Ishwar K. Sethi
Synobins: An Intermediate Level towards Annotation and Semantic Retrieval. EURASIP J. Adv. Signal Process. 2006 (2006)
Nathan J. Backman, Brian W. Whitney, Jacob D. Furst, Daniela Stan Raicu
A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors. Computational Imaging (2006)
Roman Lerman, Daniela Stan Raicu, Jacob D. Furst
Contrast enhancement of soft tissues in computed tomography images. Medical Imaging: Image Processing (2006)
Jacob D. Furst, Ruchaneewan Susomboon, Daniela Stan Raicu
Single Organ Segmentation Filters for Multiple Organ Segmentation. EMBC (2006)
Brian W. Whitney, Nathan J. Backman, Jacob D. Furst, Daniela Stan Raicu
Single click volumetric segmentation of abdominal organs in computed tomography images. Medical Imaging: Image Processing (2006)
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furst, David S. Channin
A classification approach for anatomical regions segmentation. ICIP (2) (2005)
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob D. Furst
Texture-Based Image Retrieval for Computerized Tomography Databases. CBMS (2005)
Daniela Stan Raicu
A Data Mining Framework for Target Marketing. CATA (2003)